Researchers propose a new framework integrating LLaVA and two-stage fine-tuning to improve composed image retrieval in fashion, addressing data scarcity and negative sampling limitations. The method e…
Researchers at arXiv challenge the common assumption that visual attention correlates with reliability in vision-language models. Their VLM Reliability Probe study across multiple models finds that sp…
Researchers introduced HorusEye, a framework using language as dynamic attention for emergency visual analysis, and benchmarked it on the RefCOCO-Degraded dataset. Testing multiple vision-language mod…
A developer built a Medication Safety Assistant using a multimodal RAG pipeline with LLaVA, ChromaDB, and Ollama. The system identifies medicine from images, retrieves safety guidelines from a vector …
The article explains how generative Vision-Language Models (VLMs) can replace traditional object detectors like YOLO for industrial computer vision by enabling zero-shot detection through natural lang…